Asset Details
Do you wish to reserve the book?
How urban environments affect public sentiment and physical activity using a cognitive computing framework
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
How urban environments affect public sentiment and physical activity using a cognitive computing framework
Do you wish to request the book?
How urban environments affect public sentiment and physical activity using a cognitive computing framework
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
How urban environments affect public sentiment and physical activity using a cognitive computing framework
2024
Overview
Location-based social media data provides a new perspective for understanding the relationship between human behavior and urban environments. However, further research is needed to determine the application of cognitive computing in urban environments and ical This study proposes a cognitive computing framework for urban environments and human activities that extracts knowledge from structured and unstructured data through natural language processing and computer vision techniques. This paper utilizes a Naive Bayes Model constructed based on random reviews, as well as semantic segmentation and instant segmentation algorithms based on convolutional neural networks to obtain information about urban environments and human behavior from social media data and other geospatial resources. This study examines the relationship between the urban environment and residents' activity, including spatiotemporal behavior, public sentiment, and physical activity. The study found statistically significant results in subgroup analyses regarding the effects of urban environments on sentiment and physical activity, which also exhibited a strong social gradient consistent with traditional findings. This study validates the feasibility of using cognitive computing based on social media data to explore environmental behaviors, providing technical support for updating health promotion policies. ·
